Internshala Scraper

Internshala Scraper: internships and fresher jobs in India, with stipend, duration and apply-by dates

Search Internshala by keyword, category, city or filter, and every posting comes back as a row: role, company, city, skills, stipend or salary, duration, posted and apply-by dates, openings and the full description. No Internshala account, nothing to install.

The awkward part first. Internshala ignores a filter value it does not recognise instead of refusing it. A misspelled category or city quietly gets you the unfiltered board, which you then pay for. Write categories and cities the way Internshala writes them, and check searchUrl on the first few rows before you run anything large.

🏷️ What Internshala Scraper does

Internshala runs two boards and you pick which. Internships are short placements with a monthly stipend. Jobs are full-time fresher and early-career roles with an annual salary. Set What to scrape to both and each row is tagged with its type.

Which filters apply depends on the board. Stipend, duration, part-time, the pre-placement-offer filter, the women-only board, the international board, early applicant and fast response are all internships. Annual salary, experience level and fresher-only are jobs. Keywords, categories and cities work on either.

Every keyword is walked separately, so two keywords means two searches sharing one budget.

includeDetails is on by default, and it is where the apply-by date, the number of openings, the exact posted date instead of "2 days ago", the start date, the perks, the eligibility rules, the company's profile and website and the full description come from. Turn it off for a listing-only sweep and you keep the title, company, city, stipend, duration, skills and a description snippet.

Two things to watch if you paste URLs. Changing What to scrape away from its default counts as a filter, so the run walks the board as well as reading your links. And a posting that is both pasted and found by a search comes back twice and is billed twice, because the two routes read its id from different places. Use one route or the other for the same posting.

📥 What you give it

{
  "searchQueries": ["python"],
  "listing": "internships",
  "cities": ["bangalore"],
  "workFromHome": true,
  "minStipend": 10000,
  "maxItems": 200
}

📤 What you get back

A real row from a run on 20 September 2026:

{
  "id": "3293620",
  "type": "internship",
  "title": "Machine Learning",
  "url": "https://internshala.com/internship/detail/machine-learning-internship-in-multiple-locations-at-innoknowvex1789836401",
  "companyName": "Innoknowvex",
  "companyUrl": "https://internshala.com/company/innoknowvex-1739944702",
  "companyWebsite": null,
  "companyLogo": "/static/images/search/placeholder_logo.svg",
  "locations": ["Chennai, Coimbatore, Madurai, Tirunelveli, Thanjavur, Tiruppur, Tiruchirappalli, Salem, Vellore"],
  "locationLabel": "Chennai, Coimbatore, Madurai, Tirunelveli, ...",
  "region": null,
  "countryCode": "IN",
  "isWorkFromHome": false,
  "isHybrid": false,
  "isPartTime": null,
  "stipendText": "₹ 11,000 - 23,000 /month",
  "stipendMin": 11000,
  "stipendMax": 23000,
  "stipendCurrency": "INR",
  "stipendPeriod": "MONTH",
  "stipendType": "range",
  "stipendIsEstimate": false,
  "durationText": "3 Months",
  "durationMonths": 3,
  "experienceText": null,
  "experienceYears": null,
  "skills": ["Data Analytics", "Machine Learning", "Natural Language Processing (NLP)", "Python", "R Programming", "..."],
  "postedRelative": "Today",
  "postedAt": "2026-09-20",
  "postedAtIsExact": false,
  "applyByText": "19 Oct' 26",
  "applyBy": "2026-10-19",
  "openings": 100,
  "startDateText": "Immediately",
  "startsImmediately": true,
  "isActivelyHiring": true,
  "isEarlyApplicant": true,
  "hasJobOfferAfterInternship": true,
  "jobOfferText": "Job offer upto ₹ 4.6LPA post internship",
  "industry": null,
  "employmentType": null,
  "perks": [],
  "eligibility": [],
  "aboutCompany": null,
  "descriptionText": "Selected intern's day-to-day responsibilites include: 1. Assist in collecting and cleaning datasets for ML projects...",
  "searchQuery": "python",
  "searchUrl": "https://internshala.com/internships_ajax/keywords-python/",
  "page": 1,
  "position": 1,
  "scrapedAt": "2026-09-20T07:04:31.833Z"
}

The locationLabel, skills and descriptionText above are cut short. A real row carries them in full.

🧾 Reading the output

Posting rows carry no charged field. The flag is only on the sample and diagnostic rows, to mark them as not real results.

▶️ How to run it

1. Open Internshala Scraper and click Try for free. 2. Type a skill or role into Keywords, and pick What to scrape. 3. Add a Category or City if you want, spelled the way Internshala spells it. 4. Set Maximum postings. Start around 25 to see what the rows look like. 5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.34 per 1,000 postings. Flat on every Apify plan, with no volume tiers.

One billed row per posting delivered. The sample row is not billed and diagnostic rows are not billed. A posting whose own page failed is still delivered and still billed, with a detailNote on it saying so.

💡 What people use it for

• Hiring research in India: what stipends and salaries employers are actually advertising, by

category and city.

• Building a company list from companyName and companyUrl across a category.
• Watching one city or skill daily with a small maxItems, and diffing on id.
• Pay benchmarking, because stipendMin, stipendMax and stipendPeriod are parsed rather than

left as text.

• Finding postings with a pre-placement offer attached, which is its own filter.

🚧 What it does not do

• India, plus a small international board. That board had 85 live postings when it was last

counted, so do not plan around it.

• A filter Internshala does not recognise is ignored, not refused. You get the whole board and

you pay for it. Check searchUrl on the first rows.

• No applicant counts. The early-applicant flag is the only signal of competition.
• postedAt is often approximate. Read postedAtIsExact before filtering on dates.
• Multi-city postings have no structured data, so region, industry and aboutCompany come

back null on roughly one row in six.

• Pasting a URL and searching for the same posting bills it twice. The two routes read its id

differently, so the duplicate check does not catch it.

• Changing What to scrape turns a URL-only run into a board walk. Leave it on its default if

you only want your pasted links.

• One search runs out at Internshala's own last page. Use several keywords, cities or categories

to go wider rather than raising the cap.

🧭 Which jobs scraper do you need?

❓ Questions people ask

What is the difference between the two boards? Internships are short placements paid by the month. Jobs are full-time fresher and early-career roles paid by the year. Pick one, or take both and read the type field.

Why did my category filter return everything? Internshala ignored it. Spell it the way the site does, then check searchUrl on the first row.

Can I get the apply-by date without opening every posting? No. That, the openings count and the exact posted date all live on the posting's own page, so leave Open each posting on.

Are unpaid internships included? Yes, and they are marked. stipendType reads unpaid rather than leaving the number blank.

Can I schedule it? Yes. id is stable for postings found by a search, so diffing one run against the next shows what is new.

Is this legal? These are public job postings. Company and contact details are personal data in some jurisdictions, so have a reason for collecting them. Apify's write-up on scraping and the law is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the keyword or URL you used and the run ID. The errorCode on the diagnostic row usually names the problem on its own.